jai singh

20 | Learning DSA, Python & ML
Building discipline through code

[jai singh @CodesJai]

@kmeanskaran Hi Karan Bhaiya,recently entered in final year I’ve learned ML and a bit of FastAPI. I’m confused about what to focus on next. Should I spend time understanding the math behind ML algorithms deeply, or move on to Deep Learning, MLOps,or GenAI? My goal for now is to do internship.

[jai singh @CodesJai]

What is MuJoCo?

MuJoCo is a physics-based simulation engine used in robotics and reinforcement learning .It allows developers to create virtual environments where robots can learn, interact, and make decisions safely before being tested in the real world

[jai singh @CodesJai]

Today I spent some time learning about MuJoCo (Multi-Joint Dynamics with Contact), a robotics simulation https://t.co/fZ0nAq28eb was interesting to see how robots can be trained and tested in virtual environments before being deployed in the real world. Looking forward to it.

[jai singh @CodesJai]

Built my first ML app today

Created a Streamlit frontend and connected it to an Insurance Prediction model through a FastAPI API.

Used Pydantic validation and computed fields for feature engineering before prediction.

Lots of learning, more projects ahead.

[jai singh @CodesJai]

@onlydevotee369 sent check your dm

[jai singh @CodesJai]

@OjasSharma276 True development matter more than DSA

[jai singh @CodesJai]

@khushiirl Congratulations

[jai singh @CodesJai]

Built a mini Patient Management System project today using FastAPI + Pydantic.

Implemented different HTTP requests and practiced request validation using Pydantic models.

Small project, but learned a lot while building it. Next step: integrating ML models with FastAPI

[jai singh @CodesJai]

Spent around 6 hours learning FastAPI today, and honestly the more I study it, the more interesting it becomes.

Backend development used to feel confusing, but now things are slowly starting to connect and make sense .

#FastAPI
#MachineLearning
#Aiml

[jai singh @CodesJai]

@09x88hq @X Currently learning fast api,let's connect

[jai singh @CodesJai]

One thing I realized while learning FastAPI is how important Pydantic is.

It helps with data validation, cleaner request handling, automatic error checking, and structured APIs using Python type hints.

Makes backend development much more organized

[jai singh @CodesJai]

Today I spent 3 hours practicing Pydantic concepts in FastAPI by writing code alongside the course.

Learned:

Pydantic classes

Field validators

Model validators

Nested models

Slowly understanding how professional APIs handle and validate data.

#FastApi
#AI
#Machinelearning

[jai singh @CodesJai]

@Ozzysti @Ski_burtizy Its been 2 weeks since i have applied to different roles on alignerr but didn't get any response yet

[jai singh @CodesJai]

@Jiyaamaz I'm in ai ml currently learning fastapi let's connect

[jai singh @CodesJai]

@anisha539728 I'm in ml let's connect

[jai singh @CodesJai]

Really liked FastAPI’s philosophy.

Simple syntax, clean code, automatic validation with Pydantic, dynamic request handling, and high performance make backend development feel much more beginner-friendly

[jai singh @CodesJai]

Started learning FastAPI today from CampusX.

Completed 3 lectures where I learned:

HTTP requests
FastAPI philosophy
Basic API structure

Also wrote the code alongside to understand things better. Slowly moving towards backend + ML deployment

[jai singh @CodesJai]

HTTP Methods, simplified:
GET → fetch data POST → send/create data PUT → update existing data DELETE → remove data
Every API you've ever used runs on these 4. Master them and backend dev starts making sense.

[jai singh @CodesJai]

@adxtyahq It's true even internship is not for fresher😭